Master D3.Js With Concepts & 25+ Projects | ~43 Hours | 2021

Beginner to Advanced | Learn D3.js (Version 6.3.+ ) in Depth and Create Interactive Data Visualizations

What you’ll learn
Understand the basics (behind the scenes) about D3 and know how D3 goes about doing its job
Start from the fundamentals of SVG, that forms the main aspect of creating D3 based charts and graphs
Gain a wide range of exposure towards charts & graphs (vertical bar, horizontal bar, bubble, stacked, grouped, scatter plots, line, area, radial, pie, donut)
Work with D3 objects to build a deeper understanding of the library
Learn 12 core modules that can help you build a majority of chart and graph types
Learn more than 100 different methods(functions) from 12 different modules (also called as micro-libraries)
Build more than 25 different projects with 22 unique projects
Build 22 unique projects that do not repeat the data or the visual representation
Learn how to conceptualise the chart creation process through the projects
Work with data from the real world, while creating the projects
Learn about adding interactivity and animation to the charts and graphs
Prepare yourself to take up large scale personal or professional challenges/needs
Strengthen your position as a data visualisation person in the field of analysis, consulting, analytics or data science

Requirements
Basic understanding of HTML, CSS and Javascript

Description
This is a course that aims to build a step-by-step approach towards mastering the d3 library. d3.js is a data visualisation library for the web browser. The course starts with the basics of SVG, the building block of charts and graphs (d3.js library makes use of SVG elements to represent the data in a graphical format in the web browser). Then you will enter the world of d3.js to understand the first principles of using the library. You will go through 12 important modules of the library one after the other in a systematic manner. Each module is made up of several methods, and the methods are explained in detail with the help of code and the output seen via the browser console. After the completion of each module you will be doing a project, and in some cases more than a project per module. The projects give a sense of building real world applications and strengthen the concepts learnt. The projects also helps you use different types of data and create nice UI/UX. This is a comprehensive course for you to progress in the domain of data visualisation. This course will gear you to build large scale and complex applications either in your personal or professional areas.

Overview
Section 1: Overview

Lecture 1 What to expect from this course?

Section 2: About D3

Lecture 2 Introduction To D3.js Library

Section 3: Being Prepared

Lecture 3 Pre Requisites For This Course

Section 4: Set Up

Lecture 4 Working Environment

Section 5: Github Repo

Lecture 5 Github repo for the entire course

Section 6: The Co-ordinate Systems

Lecture 6 Traditional System And Screen System Of Creating/Rendering Charts And Graphs

Section 7: Starting With SVG (Scalable Vector Graphics)

Lecture 7 Concept Of SVG And SVG Element

Lecture 8 Circle Element

Lecture 9 Rect Element

Lecture 10 Rect Element: Square

Lecture 11 Ellipse Element

Lecture 12 Line Element

Lecture 13 Polygon Element

Lecture 14 Polyline Element

Lecture 15 Text Element

Lecture 16 Path Element

Lecture 17 Transform Property

Lecture 18 Group Element

Lecture 19 SVG Viewport

Lecture 20 SVG Closing Notes

Lecture 21 Simple Bar Chart

Lecture 22 Entering D3

Section 8: Selecting Elements

Lecture 23 Select Method

Lecture 24 SelectAll Method

Lecture 25 Filter Method

Lecture 26 Merge Method

Lecture 27 SelectChild Method

Lecture 28 SelectChildren Method

Lecture 29 PROJECT: Coloring Elements

Section 9: Modifying Elements

Lecture 30 Attr Method

Lecture 31 Classed Method

Lecture 32 Style Method

Lecture 33 Property Method

Lecture 34 Text Method

Lecture 35 Append Method

Lecture 36 Html Method

Lecture 37 Insert Method

Lecture 38 Remove Method

Lecture 39 Clone Method

Lecture 40 Sort Method

Lecture 41 Raise Method

Lecture 42 Lower Method

Lecture 43 PROJECT: IMDB Ratings

Section 10: Joining Data

Lecture 44 Data Method

Lecture 45 Datum Method

Lecture 46 Enter Method

Lecture 47 Exit Method

Lecture 48 Join Method

Lecture 49 Key Function

Lecture 50 PROJECT: Planets

Section 11: Handling Events

Lecture 51 On Method

Lecture 52 Dispatch Method

Lecture 53 Pointer Method

Lecture 54 Pointers Method

Lecture 55 PROJECT: Ford

Section 12: Control Flow

Lecture 56 Each Method

Lecture 57 Call Method

Lecture 58 Empty Method

Lecture 59 Nodes Method

Lecture 60 Size Method

Lecture 61 Iterator

Lecture 62 PROJECT: Caloric Ratio

Section 13: PROJECT

Lecture 63 PROJECT: Top 9 Indian IT Companies

Section 14: Continuous Scales

Lecture 64 Linear Scale

Lecture 65 PROJECT: Population Density

Lecture 66 Power Scale

Lecture 67 PROJECT: Vehicle Depreciation

Lecture 68 Logarithmic Scale

Lecture 69 Identity Scale

Lecture 70 Radial Scale

Lecture 71 Time Scale

Lecture 72 PROJECT: San Francisco Temperatures

Section 15: Sequential Scales

Lecture 73 Sequential Scale

Lecture 74 PROJECT: Cement Color

Section 16: Diverging Scales

Lecture 75 Diverging Scale

Lecture 76 PROJECT: Cement Color

Section 17: Quantize Scales

Lecture 77 Quantize Scale

Lecture 78 PROJECT: FitBit Revenues

Section 18: Quantile Scales

Lecture 79 Quantile Scale

Lecture 80 PROJECT: Air Quality

Section 19: Threshold Scales

Lecture 81 Threshold Scale

Lecture 82 PROJECT: Air Quality

Section 20: Ordinal Scales

Lecture 83 Ordinal Scale

Lecture 84 PROJECT: Basket Ball Points

Section 21: Band Scales

Lecture 85 Band Scale

Lecture 86 PROJECT: Basket Ball Points

Section 22: Point Scales

Lecture 87 Point Scale

Lecture 88 PROJECT: Basket Ball Points

Section 23: PROJECT

Lecture 89 PROJECT: University Enrollment

Section 24: Axes

Lecture 90 Axes

Lecture 91 PROJECT: D3.js Google Trends

Section 25: Color

Lecture 92 Color

Section 26: Color Schemes

Lecture 93 Color Schemes

Section 27: Transitions

Lecture 94 Transitions

Section 28: Arrays

Lecture 95 Statistics

Lecture 96 Search

Lecture 97 Transformations

Lecture 98 Iterations

Lecture 99 Sets

Section 29: PROJECT

Lecture 100 PROJECT: Sales Analysis

Section 30: Number Formats

Lecture 101 Number Formats

Section 31: Interpolators

Lecture 102 Interpolators

Section 32: Fetches

Lecture 103 Fetches

Section 33: PROJECT

Lecture 104 PROJECT: Tesla Models

Section 34: Shapes

Lecture 105 Lines

Lecture 106 PROJECT: IBM March 2020 Stock Prices

Lecture 107 Radial Lines

Lecture 108 PROJECT: Business Outreach Spending

Lecture 109 Areas

Lecture 110 PROJECT: Atlanta Airport

Lecture 111 Curves

Lecture 112 Arcs

Lecture 113 PROJECT: Global Research & Development Spending

Lecture 114 Symbols

Lecture 115 PROJECT: Best 5 Countries

Section 35: Time Formats

Lecture 116 Time Formats

Section 36: Course Closing Notes

Lecture 117 Course Closing Notes

Developers, Engineers, Analysts, Researchers, Academicians, Scientists, Designers or Illustrators that are looking to creating amazing data visualisations,Anyone looking for a step by step approach of using the D3 library,Anyone who is looking to understand how data visualisation happens in the web,Anyone looking to gain confidence in using D3 and build any type of charts or graphs that are present in the real world

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